Triple
T11902803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Yuchang |
E283195
|
entity |
| Predicate | socialMediaPlatform |
P57
|
FINISHED |
| Object |
E218224
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Weibo | Statement: [Peng Yuchang, socialMediaPlatform, Weibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weibo Context triple: [Peng Yuchang, socialMediaPlatform, Weibo]
-
A.
Weibo
chosen
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
B.
Toutiao
Toutiao is a popular Chinese news and content aggregation platform that uses algorithms to deliver personalized feeds to users.
-
C.
Sina Corporation
Sina Corporation is a Chinese technology company best known for operating major online media and social networking platforms, including the popular microblogging service Weibo.
-
D.
WeChat
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
-
E.
SNS
SNS is the National Rail station code for Staines railway station in Surrey, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4183d29b081908cfbf4d91a365681 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.